EDA Text Augmenter
Generate augmented text samples using Easy Data Augmentation techniques. Use these for training, data augmentation, or testing robustness.
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🧠 Model: This tool uses Natural.js (JavaScript NLP library) with intelligent WordNet fallback. Best of both worlds – sophisticated stemming when available, reliable performance always!
- Stemming: Automatically reduces words to root forms (working → work)
- WordNet Database: 150+ curated words with synonym pairs
- Intelligent Fallback: Works 100% even without external libraries
- No External APIs: Runs entirely in your browser
EDA Techniques
Synonym Replacement (SR): Replace random words with synonyms.
Random Insertion (RI): Insert synonyms of random words at random positions.
Random Swap (RS): Randomly swap positions of words.
Random Deletion (RD): Randomly remove words.
Alpha: Controls the percentage of words affected (0.1 = 10%).
Citation
This tool is based on the paper:
Wei, J. W., & Zou, K. (2019). EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
arXiv preprint arXiv:1901.11196
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